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https://hdl.handle.net/11147/10082| Title: | Kaotik İ̇şaretlerde Wiener ve Kalman Yöntemleri Kullanarak Gürültü Süzgeçleme | Other Titles: | Noise reduction in chaotic signals by using Wiener and Kalman filtering methods | Authors: | Çek, Emre Oral, Ömer Akay, Olcay |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map by using Wiener, Extended and Unscented Kalman filters, respectively. Performances of each method were compared by finding mean square error versus signal to noise ratio (SNR) and correlation dimension which is one of the invariants of the chaotic dynamical systems. It was observed that, each method exhibits different MSE performances depending on the particular signal to noise ratio. | Description: | IEEE 15th Signal Processing and Communications Applications Conference | URI: | https://hdl.handle.net/11147/10082 | ISBN: | 978-1-4244-0719-4 |
| Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Noise_Reduction_in_Chaotic.pdf | 532.62 kB | Adobe PDF | View/Open |
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